Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series.
Mikhail SarafanovValerii PokrovskiiNikolay O. NikitinPublished in: CEC (2022)
Keyphrases
- machine learning
- multiscale
- weather forecasting
- financial time series
- forecasting accuracy
- exponential smoothing
- sensor data
- arma model
- short term
- chaotic time series
- machine learning methods
- sensor networks
- exchange rate
- genetic algorithm
- pattern recognition
- data mining
- quasi periodic
- evolutionary computing
- stock market
- semi automated
- multi sensor
- support vector regression
- stock price
- natural language processing
- wavelet transform
- arima model
- scale space
- machine learning algorithms
- turning points
- electricity consumption
- real time
- image processing
- moving average
- decomposition method
- grey model
- box jenkins
- evolutionary computation
- coarse to fine
- learning algorithm
- decision trees
- evolutionary algorithm
- supervised learning
- computational intelligence
- edge detection
- non stationary
- learning tasks
- hybrid model
- text classification
- genetic programming
- garch model
- forecasting model
- text mining
- support vector machine
- long term
- phase space reconstruction
- multiple scales
- artificial intelligence
- neural network